OmniSearch MCP

Unifies search and content processing by dynamically selecting optimal providers like Tavily, Brave, and Perplexity to enable flexible information retrieval and enhancement across multiple domains.

Skills

Explore the skills and capabilities of this skillset.

kagi_search

High-quality search results with minimal advertising influence, focused on authoritative sources. Supports search operators in query string (site:, -site:, filetype:, intitle:, inurl:, before:, after:, and exact phrases). Features strong privacy protection and access to specialized knowledge indexes. Best for research, technical documentation, and finding high-quality content without SEO manipulation.

brave_search

Privacy-focused search engine with good coverage of technical topics. Features native support for search operators (site:, filetype:, intitle:, inurl:, before:, after:, and exact phrases). Best for technical documentation, developer resources, and privacy-sensitive queries.

tavily_search

Search the web using Tavily Search API. Best for factual queries requiring reliable sources and citations. Supports domain filtering through API parameters (include_domains/exclude_domains). Provides high-quality results for technical, scientific, and academic topics. Use when you need verified information with strong citation support.

perplexity_search

AI-powered response generation combining real-time web search with advanced language models. Best for complex queries requiring reasoning and synthesis across multiple sources. Features contextual memory for follow-up questions.

jina_reader_process

Convert any URL to clean, LLM-friendly text using Jina Reader API

kagi_fastgpt_search

Quick AI-generated answers with citations, optimized for rapid response (900ms typical start time). Runs full search underneath for enriched answers.

firecrawl_map_process

Fast URL collection from websites for comprehensive site mapping using Firecrawl. Efficiently discovers all accessible URLs within a domain without extracting content. Best for site auditing, URL discovery, and preparing for targeted content extraction.

jina_grounding_enhance

Real-time fact verification against web knowledge. Reduces hallucinations and improves content integrity through statement verification.

tavily_extract_process

Extract web page content from single or multiple URLs using Tavily Extract. Efficiently converts web content into clean, processable text with configurable extraction depth and optional image extraction. Returns both combined and individual URL content. Best for content analysis, data collection, and research.

firecrawl_crawl_process

Deep crawling of all accessible subpages on a website with configurable depth limits using Firecrawl. Efficiently discovers and extracts content from multiple pages within a domain. Best for comprehensive site analysis, content indexing, and data collection from entire websites.

kagi_enrichment_enhance

Provides supplementary content from specialized indexes (Teclis for web, TinyGem for news). Ideal for discovering non-mainstream results and enriching content with specialized knowledge.

kagi_summarizer_process

Instantly summarizes content of any type and length from URLs. Supports pages, videos, and podcasts with transcripts. Best for quick comprehension of long-form content and multimedia resources.

firecrawl_scrape_process

Extract clean, LLM-ready data from single URLs with enhanced formatting options using Firecrawl. Efficiently converts web content into markdown, plain text, or structured data with configurable extraction options. Best for content analysis, data collection, and AI training data preparation.

firecrawl_actions_process

Support for page interactions (clicking, scrolling, etc.) before extraction for dynamic content using Firecrawl. Enables extraction from JavaScript-heavy sites, single-page applications, and content behind user interactions. Best for accessing content that requires navigation, form filling, or other interactions.

firecrawl_extract_process

Structured data extraction with AI using natural language prompts via Firecrawl. Extracts specific information from web pages based on custom extraction instructions. Best for targeted data collection, information extraction, and converting unstructured web content into structured data.

Configuration

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MCP Server

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OmniSearch MCP

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